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A comprehensive transferability evaluation of U‑Net and ResU‑Net for landslide detection from Sentinel‑2 data (case study areas fromTaiwan, China, and Japan)
Názov A comprehensive transferability evaluation of U‑Net and ResU‑Net for landslide detection from Sentinel‑2 data (case study areas fromTaiwan, China, and Japan) Autor Ghorbanzadeh Omid Shahabi Hejar 1991 SAVGEOGR - Geografický ústav SAV SCOPUS RID ORCID Spoluautori Crivellari Alessandro Ghamisi Pedram Blaschke Thomas Zdroj.dok. Scientific Reports. Vol. 11, art. no. 14629 (2021) Jazyk dok. eng - angličtina Krajina GB - Veľká Británia Druh dok. rozpis článkov z periodík (rbx) Ohlasy BAO, S. - LIU, J.P. - WANG, L. - ZHAO, X.Z. Application of Transformer Models to Landslide Susceptibility Mapping. In SENSORS. 2022, vol. 22, no. 23, art. no. 9104. Dostupné na: https://doi.org/10.3390/s22239104. JIANG, W.D. - XI, J.B. - LI, Z.H. - ZANG, M.H. - CHEN, B. - ZHANG, C.L. - LIU, Z.J. - GAO, S.Y. - ZHU, W. Deep Learning for Landslide Detection and Segmentation in High-Resolution Optical Images along the Sichuan-Tibet Transportation Corridor. In REMOTE SENSING. 2022, vol. 14, no. 21, art. no. 5490. Dostupné na: https://doi.org/10.3390/rs14215490. CHOWDHURI, I. - PAL, S.C. - SAHA, A. - ROY, P. - CHAKRABORTTY, R. - SHIT, M. Application of novel framework approach for assessing rainfall induced future landslide hazard to world heritage sites in Indo-Nepal-Bhutan Himalayan region. In GEOCARTO INTERNATIONAL. ISSN 1010-6049, 2022, vol. 37, no. 27, p. 17742-17776. Dostupné na: https://doi.org/10.1080/10106049.2022.2134464. AZMOON, B. - BINIYAZ, A. - LIU, Z. Use of High-Resolution Multi-Temporal DEM Data for Landslide Detection. In GEOSCIENCES. 2022, vol. 12, no. 10, art. no. 378. Dostupné na: https://doi.org/10.3390/geosciences12100378. CHAVAN, M. - VARADARAJAN, V. - GITE, S. - KOTECHA, K. Deep Neural Network for Lung Image Segmentation on Chest X-ray. In TECHNOLOGIES. 2022, vol. 10, no. 5, art. no. 105. Dostupné na: https://doi.org/10.3390/technologies10050105. MORALES, B. - GARCIA-PEDRERO, A. - LIZAMA, E. - LILLO-SAAVEDRA, M. - GONZALO-MARTIN, C. - CHEN, N.S. - SOMOS-VALENZUELA, M. Patagonian Andes Landslides Inventory: The Deep Learning's Way to Their Automatic Detection. In REMOTE SENSING. 2022, vol. 14, no. 18, art. no. 4622. Dostupné na: https://doi.org/10.3390/rs14184622. FRANCINI, M. - SALVO, C. - VISCOMI, A. - VITALE, A. A Deep Learning-Based Method for the Semi-Automatic Identification of Built-Up Areas within Risk Zones Using Aerial Imagery and Multi-Source GIS Data: An Application for Landslide Risk. In REMOTE SENSING. 2022, vol. 14, no. 17, art. no 4279. Dostupné na: https://doi.org/10.3390/rs14174279. LI, W.S. - HE, M.L. - XIANG, M.H. Double-Stack Aggregation Network Using a Feature-Travel Strategy for Pansharpening. In REMOTE SENSING. 2022, vol. 14, no. 17, art. no. 4224 Dostupné na: https://doi.org/10.3390/rs14174224. KUBO, S. - YAMANE, T. - CHUN, P.J. Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method. In SENSORS. 2022, vol. 22, no. 17, art. no. 6412. Dostupné na: https://doi.org/10.3390/s22176412. ESKANDARI, S. - SARAB, S.A.M. Mapping land cover and forest density in Zagros forests of Khuzestan province in Iran: A study based on Sentinel-2, Google Earth and field data. In ECOLOGICAL INFORMATICS. ISSN 1574-9541, 2022, vol. 70, art. no. 101727. Dostupné na: https://doi.org/10.1016/j.ecoinf.2022.101727. JI, Y. - YAN, E.P. - YIN, X.M. - SONG, Y.B. - WEI, W. - MO, D.K. Automated extraction of Camellia oleifera crown using unmanned aerial vehicle visible images and the ResU-Net deep learning model. In FRONTIERS IN PLANT SCIENCE. ISSN 1664-462X, 2022, vol. 13, art. no. 958940. Dostupné na: https://doi.org/10.3389/fpls.2022.958940. YAZDI, A. - QIN, H.Y. - JORDAN, C.B. - YANG, L. - YAN, F. Nemo: An Open-Source Transformer-Supercharged Benchmark for Fine-Grained Wildfire Smoke Detection. In REMOTE SENSING. 2022, vol. 14, no. 16. Dostupné na: https://doi.org/10.3390/rs14163979. ES-SMAIRI, A. - EL MOUTCHOU, B. - TOUHAMI, A.E. - NAMOUS, M. - MIR, R.A. Landslide susceptibility mapping using GIS-based bivariate models in the Rif chain (northernmost Morocco). In GEOCARTO INTERNATIONAL. ISSN 1010-6049, 2022, vol. 37, no. 27, p. 15347-15377. Dostupné na: https://doi.org/10.1080/10106049.2022.2097322. ESKANDARI, S. - POURGHASEMI, H.R. Assessing and mapping distribution, area, and density of riparian forests in southern Iran using Sentinel-2A, Google earth, and field data. In ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. ISSN 0944-1344, 2022, vol. 29, no. 52, p. 79605-79617. Dostupné na: https://doi.org/10.1007/s11356-022-21478-2. SCHONFELDT, E. - WINOCUR, D. - PANEK, T. - KORUP, O. Deep learning reveals one of Earth?s largest landslide terrain in Patagonia. In EARTH AND PLANETARY SCIENCE LETTERS. ISSN 0012-821X, 2022, vol. 593, art. no. 117642. Dostupné na: https://doi.org/10.1016/j.epsl.2022.117642. ZHANG, G.L. - WANG, M. - LIU, K. Dynamic prediction of global monthly burned area with hybrid deep neural networks. In ECOLOGICAL APPLICATIONS. ISSN 1051-0761, 2022, vol. 32, no. 5. Dostupné na: https://doi.org/10.1002/eap.2610. VALDES CARRERA, A.C. - MENDOZA, M.E. - CARLON ALLENDE, T. - MACIAS, J.L. Multitemporal landslide inventory analysis of an intertropical mountain in west-central Mexico - Basis for hazard management. In JOURNAL OF MOUNTAIN SCIENCE. ISSN 1672-6316, 2022, vol. 19, no. 6, p. 1650-1669. Dostupné na: https://doi.org/10.1007/s11629-021-7223-3. YANG, Z.Q. - XU, C. Efficient Detection of Earthquake-Triggered Landslides Based on U-Net plus plus : An Example of the 2018 Hokkaido Eastern Iburi (Japan) Mw=6.6 Earthquake. In REMOTE SENSING. JUN 2022, vol. 14, no. 12, art. no. 2826. Dostupné na: https://doi.org/10.3390/rs14122826. TANG, X.C. - TU, Z.H. - WANG, Y. - LIU, M.Z. - LI, D.F. - FAN, X.M. Automatic Detection of Coseismic Landslides Using a New Transformer Method. In REMOTE SENSING. 2022, vol. 14, no. 12, art. no. 2884 Dostupné na: https://doi.org/10.3390/rs14122884. YANG, Z.Q. - XU, C. - LI, L. Landslide Detection Based on ResU-Net with Transformer and CBAM Embedded: Two Examples with Geologically Different Environments. In REMOTE SENSING. 2022, vol. 14, no. 12, art. no. 2885. Dostupné na: https://doi.org/10.3390/rs14122885. DONG, Z.Y. - AN, S. - ZHANG, J. - YU, J.Q. - LI, J.H. - XU, D.L. L-Unet: A Landslide Extraction Model Using Multi-Scale Feature Fusion and Attention Mechanism. In REMOTE SENSING. 2022, vol. 14, no. 11, art. no. 2552. Dostupné na: https://doi.org/10.3390/rs14112552. TERENTIEVA, I. - FILIPPOV, I. - SABREKOV, A. - GLAGOLEV, M. Mapping Onshore CH4 Seeps in Western Siberian Floodplains Using Convolutional Neural Network. In REMOTE SENSING. 2022, vol. 14, no. 11. Dostupné na: https://doi.org/10.3390/rs14112661. HAN, W.C. - HE, T.L. - TANG, Z.J. - WANG, M. - JONES, D. - JIANG, Z. A comparative analysis for a deep learning model (hyDL-CO v1.0) and Kalman filter to predict CO concentrations in China. In GEOSCIENTIFIC MODEL DEVELOPMENT. ISSN 1991-959X, 2022, vol. 15, no. 10, p. 4225-4237. Dostupné na: https://doi.org/10.5194/gmd-15-4225-2022. JENIFER, A.E. - APARNA, A. - SUDHA, N. - KUMAR, A. AgriFloodNet: a dual patch CNN architecture for mapping flooded agricultural lands via bi-temporal multi-sensor images. In GEOCARTO INTERNATIONAL. ISSN 1010-6049, 2022, vol. 37, no. 26, p. 13618-13637. Dostupné na: https://doi.org/10.1080/10106049.2022.2082549. MAGHAMI, A. - HOSSEINI, S.M. Automated design of phononic crystals under thermoelastic wave propagation through deep reinforcement learning. In ENGINEERING STRUCTURES. ISSN 0141-0296, 2022, vol. 263, art. no. 114385. Dostupné na: https://doi.org/10.1016/j.engstruct.2022.114385. WANG, L.Y. - QIU, H.J. - ZHOU, W.Q. - ZHU, Y.R. - LIU, Z.J. - MA, S.Y. - YANG, D.D. - TANG, B.Z. The Post-Failure Spatiotemporal Deformation of Certain Translational Landslides May Follow the Pre-Failure Pattern. In REMOTE SENSING. MAY 2022, vol. 14, no. 10. Dostupné na: https://doi.org/10.3390/rs14102333. TRAN-ANH, D. - BUI-QUOC, B. - VU-DUC, A. - DO, T.A. - VIET, H.N. - VU, H.N. - TRAN, C. Integrative Few-Shot Classification and Segmentation for Landslide Detection. In IEEE ACCESS. ISSN 2169-3536, 2022, vol. 10, p. 120200-120212. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3220906. ZHANG, M. - SINGH, H. - CHOK, L. - CHUNARA, R. Segmenting across places: The need for fair transfer learning with satellite imagery. In 2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2022. ISSN 2160-7508, 2022, p. 2915-2924. Dostupné na: https://doi.org/10.1109/CVPRW56347.2022.00329. DAI, B.B. - WANG, Y.M. - YE, C.Y. - LI, Q.H. - YUAN, C.M. - LU, S. - LI, Y.Y. A Novel Method for Extracting Time Series Information of Deformation Area of a Single Landslide Based on Improved U-Net Neural Network. In FRONTIERS IN EARTH SCIENCE, 2021, vol. 9. art. no. 785476. Dostupné na: https://doi.org/10.3389/feart.2021.785476. Kategória ADCA - Vedecké práce v zahraničných karentovaných časopisoch impaktovaných Kategória (od 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Typ výstupu článok Rok vykazovania 2021 Registrované v WOS Registrované v SCOPUS Registrované v CCC DOI 10.1038/s41598-021-94190-9 
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Názov súboru Prístup Veľkosť Stiahnuté Typ Licence 42-2021 A comprehensive transferability.pdf Neprístupný/archív 4.9 MB 0 Vydavateľská verzia rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore A rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2021 2020 4.380 Q1 1.240 Q1
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